Results 81 to 90 of about 55,481 (267)

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

Energy Science &Engineering, EarlyView.
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley   +1 more source

Toxicological Evaluation of the Undesirable Components in Processed Infant Foods Using Artificial Intelligence

Future Postharvest and Food, EarlyView.
The detection of toxins in baby food using artificial intelligence. ABSTRACT Infant foods and baby formulas are becoming increasingly popular across the globe owing to their ease of consumption and nutritional value specific to infants. Impurities may find their way into the food chain at any point from the acquisition of raw materials to final ...
Poornima Singh, Anurag Singh, Ashutosh Upadhyay, Navneet Kumar   +3 more
wiley   +1 more source

Comparative Analysis of ANFIS and State-ANFIS for Forecasting Cooking Oil Prices Based on Processed Palm Oil Yield (Crude Palm Oil)

Applied Computational Intelligence and Soft Computing
The adaptive neuro-fuzzy inference system (ANFIS) is widely employed in modeling intricate systems, especially in forecasting cooking oil prices.
Brodjol Sutijo Suprih Ulama, Fausania Hibatullah, Mochammad Reza Habibi, null Makkulau   +3 more
doaj   +1 more source

Predicting roof displacement of roadways in underground coal mines using adaptive neuro-fuzzy inference system optimized by various physics-based optimization algorithms

Journal of Rock Mechanics and Geotechnical Engineering, 2021
Due to the rapid industrialization and the development of the economy in each country, the demand for energy is increasing rapidly. The coal mines have to pace up the mining operations with large production to meet the energy demand. This requirement has
Chengyu Xie, Hoang Nguyen, Xuan-Nam Bui, Van-Thieu Nguyen, Jian Zhou   +4 more
doaj   +1 more source

Transient fault area location and fault classification for distribution systems based on wavelet transform and Adaptive Neuro-Fuzzy Inference System (ANFIS) [PDF]

, 2018
A novel method to locate the zone of transient faults and to classify the fault type in Power Distribution Systems using wavelet transforms and Adaptive Neuro-Fuzzy Inference Systems (ANFIS) has been developed.
Ghazizadeh-Ahsaee, Mahdi, Khaleghi, Ali, Rabori, Alireza Mehdipour, Sadegh, Mahmoud Oukati   +3 more
core   +2 more sources

Research progress on the depth of anesthesia monitoring based on the electroencephalogram

Ibrain, Volume 11, Issue 1, Page 32-43, Spring 2025.
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley   +1 more source

Preliminary Test of Adaptive Neuro-Fuzzy Inference System Controller for Spacecraft Attitude Control [PDF]

Journal of Astronomy and Space Sciences, 2012
The problem of spacecraft attitude control is solved using an adaptive neuro-fuzzy inference system (ANFIS). An ANFIS produces a control signal for one of the three axes of a spacecraft’s body frame, so in total three ANFISs are constructed for 3-axis ...
Sung-Woo Kim, Sang-Young Park, Chan-Deok Park   +2 more
doaj   +1 more source

Performance improvement for infiltration rate prediction using hybridized Adaptive Neuro-Fuzzy Inferences System (ANFIS) with optimization algorithms

Ain Shams Engineering Journal, 2021
The infiltration process during irrigation is an essential variable for better water management and hence there is a need to develop an accurate model to estimate the amount infiltration water during irrigation.
Mohammad Ehteram, Fang Yenn Teo, Ali Najah Ahmed, Sarmad Dashti Latif, Yuk Feng Huang, Osama Abozweita, Nadhir Al-Ansari, Ahmed El-Shafie   +7 more
doaj   +1 more source

Building Fuzzy Elevation Maps from a Ground-based 3D Laser Scan for Outdoor Mobile Robots [PDF]

, 2015
Mandow, A; Cantador, T.J.; Reina, A.J.; Martínez, J.L.; Morales, J.; García-Cerezo, A. "Building Fuzzy Elevation Maps from a Ground-based 3D Laser Scan for Outdoor Mobile Robots," Robot2015: Second Iberian Robotics Conference, Advances in Robotics, (2016)
A Birk, A Ciampalini, A Mandow, A Santamaria-Navarro, CH Tong, F Samadzadegan, G Ishigami, J Gu, J Morales, J Serón, J-SR Jang, M Anile, N Vaskevicius, P Pfaff, S Vasudevan, Z-H Xiu   +15 more
core   +1 more source

How AI and Digital Technologies Can Enhance Sustainable Livestock Manure Management: An Overview From Treatment to Distribution

Sustainable Development, EarlyView.
ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi, Feihong Liang, Francesco Marinello, Andrea Pezzuolo   +3 more
wiley   +1 more source